Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications
Journal of Clinical Medicine,
Год журнала:
2025,
Номер
14(2), С. 550 - 550
Опубликована: Янв. 16, 2025
The
convergence
of
Artificial
Intelligence
(AI)
and
neuroscience
is
redefining
our
understanding
the
brain,
unlocking
new
possibilities
in
research,
diagnosis,
therapy.
This
review
explores
how
AI’s
cutting-edge
algorithms—ranging
from
deep
learning
to
neuromorphic
computing—are
revolutionizing
by
enabling
analysis
complex
neural
datasets,
neuroimaging
electrophysiology
genomic
profiling.
These
advancements
are
transforming
early
detection
neurological
disorders,
enhancing
brain–computer
interfaces,
driving
personalized
medicine,
paving
way
for
more
precise
adaptive
treatments.
Beyond
applications,
itself
has
inspired
AI
innovations,
with
architectures
brain-like
processes
shaping
advances
algorithms
explainable
models.
bidirectional
exchange
fueled
breakthroughs
such
as
dynamic
connectivity
mapping,
real-time
decoding,
closed-loop
systems
that
adaptively
respond
states.
However,
challenges
persist,
including
issues
data
integration,
ethical
considerations,
“black-box”
nature
many
systems,
underscoring
need
transparent,
equitable,
interdisciplinary
approaches.
By
synthesizing
latest
identifying
future
opportunities,
this
charts
a
path
forward
integration
neuroscience.
From
harnessing
multimodal
cognitive
augmentation,
fusion
these
fields
not
just
brain
science,
it
reimagining
human
potential.
partnership
promises
where
mysteries
unlocked,
offering
unprecedented
healthcare,
technology,
beyond.
Язык: Английский
Multiscale brain modeling: bridging microscopic and macroscopic brain dynamics for clinical and technological applications
Frontiers in Cellular Neuroscience,
Год журнала:
2025,
Номер
19
Опубликована: Фев. 19, 2025
The
brain's
complex
organization
spans
from
molecular-level
processes
within
neurons
to
large-scale
networks,
making
it
essential
understand
this
multiscale
structure
uncover
brain
functions
and
address
neurological
disorders.
Multiscale
modeling
has
emerged
as
a
transformative
approach,
integrating
computational
models,
advanced
imaging,
big
data
bridge
these
levels
of
organization.
This
review
explores
the
challenges
opportunities
in
linking
microscopic
phenomena
macroscopic
functions,
emphasizing
methodologies
driving
progress
field.
It
also
highlights
clinical
potential
including
their
role
advancing
artificial
intelligence
(AI)
applications
improving
healthcare
technologies.
By
examining
current
research
proposing
future
directions
for
interdisciplinary
collaboration,
work
demonstrates
how
can
revolutionize
both
scientific
understanding
practice.
Язык: Английский
AI-Enhanced Neurophysiological Assessment
Advances in psychology, mental health, and behavioral studies (APMHBS) book series,
Год журнала:
2025,
Номер
unknown, С. 33 - 64
Опубликована: Янв. 3, 2025
Advancements
in
artificial
intelligence
(AI)
are
revolutionizing
neurophysiology,
enhancing
precision
and
efficiency
assessing
brain
nervous
system
function.
AI-driven
neurophysiological
assessment
integrates
machine
learning,
deep
neural
networks,
advanced
data
analytics
to
process
complex
from
electroencephalography,
electromyography
techniques.
This
technology
enables
earlier
diagnosis
of
neurological
disorders
like
epilepsy
Alzheimer's
by
detecting
subtle
patterns
that
may
be
missed
human
analysis.
AI
also
facilitates
real-time
monitoring
predictive
analytics,
improving
outcomes
critical
care
neurorehabilitation.
Challenges
include
ensuring
quality,
addressing
ethical
concerns,
overcoming
computational
limits.
The
integration
into
neurophysiology
offers
a
precise,
scalable,
accessible
approach
treating
disorders.
chapter
discusses
the
methodologies,
applications,
future
directions
assessment,
emphasizing
its
transformative
impact
clinical
research
fields.
Язык: Английский
Artificial intelligence dentistry and dental biomaterials
Frontiers in Dental Medicine,
Год журнала:
2024,
Номер
5
Опубликована: Дек. 23, 2024
Artificial
intelligence
(AI)
technology
is
being
used
in
various
fields
and
its
use
increasingly
expanding
dentistry.
The
key
aspects
of
AI
include
machine
learning
(ML),
deep
(DL),
neural
networks
(NNs).
aim
this
review
to
present
an
overview
AI,
aspects,
application
biomedicine,
dentistry,
dental
biomaterials
focusing
on
restorative
dentistry
prosthodontics.
AI-based
systems
can
be
a
complementary
tool
diagnosis
treatment
planning,
result
prediction,
patient-centered
care.
software
detect
restorations,
prosthetic
crowns,
periodontal
bone
loss,
root
canal
segmentation
from
the
periapical
radiographs.
integration
digital
imaging,
3D
printing
provide
more
precise,
durable,
patient-oriented
outcomes.
also
for
automatic
panoramic
radiographs
showing
normal
anatomy
oral
maxillofacial
area.
Recent
advancement
medical
sciences
includes
multimodal
fusion,
speech
data
detection,
neuromorphic
computing.
Hence,
has
helped
dentists
diagnosis,
aid
providing
high-quality
treatments
less
time.
Язык: Английский
Advancing Civil Engineering: The Transformative Impact of Neuromorphic Computing on Infrastructure Resilience and Sustainability
Results in Engineering,
Год журнала:
2024,
Номер
unknown, С. 103487 - 103487
Опубликована: Ноя. 1, 2024
Язык: Английский
Integrating chemical artificial intelligence and cognitive computing for predictive analysis of biological pathways: a case for intrinsically disordered proteins
Biophysical Reviews,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 15, 2025
Язык: Английский
Hidden Coexisting Firing Patterns in a Hindmarsh-Rose Neuron Model with the Simplest Memristor
WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS,
Год журнала:
2025,
Номер
24, С. 78 - 84
Опубликована: Март 31, 2025
This
work
presents
an
improved
three-dimensional
Hindmarsh-Rose
neuron
model
that
takes
into
account
the
impact
of
electromagnetic
induction.
By
employing
magnetic
flux
to
characterize
this
influence,
demonstrates
how
induction
produces
membrane
potential
through
a
feedback
memristive
current.
For
reason,
simplest
memristor
model,
which
has
been
reported
in
literature,
used.
Interestingly
proposed
does
not
possess
equilibrium
points
and
can
exhibit
hidden
coexisting
firing
patterns.
Numerical
simulations
have
conducted,
unveiling
system’s
dynamics
confirming
exhibits
Язык: Английский